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164 Results

Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors

Staff Working Paper 2022-22 Erhao Xie
This paper jointly relaxes two assumptions in the literature that estimates games. These two assumptions are the parametric restriction on the model primitives and the restriction of equilibrium behaviors. Without imposing the above two assumptions, this paper identifies the primitives of the game.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C57

Equilibrium in Two-Sided Markets for Payments: Consumer Awareness and the Welfare Cost of the Interchange Fee

Staff Working Paper 2022-15 Kim Huynh, Gradon Nicholls, Oleksandr Shcherbakov
We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff Working Paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System

Staff Discussion Paper 2022-3 Francisco Rivadeneyra, Nellie Zhang
We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system.

Assessing Climate-Related Financial Risk: Guide to Implementation of Methods

A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.

Business Closures and (Re)Openings in Real Time Using Google Places

The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.

Covariates Hiding in the Tails

Staff Working Paper 2021-45 Milian Bachem, Lerby Ergun, Casper G. de Vries
We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C1, C14, C5, C58

Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data

Staff Working Paper 2021-43 Tatjana Dahlhaus, Angelika Welte
We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs.
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